Arwin-Yu/Deep-Learning-Image-Classification-Models-Based-CNN-or-Attention
This project organizes classic images classification neural networks based on convolution or attention, and writes training and inference python scripts
This project helps deep learning practitioners classify images by providing a collection of established neural network models. You provide a dataset of labeled images, and the system trains a model that can then predict the category of new, unseen images. This is for machine learning engineers, data scientists, or researchers who need to implement or benchmark image classification solutions.
210 stars. No commits in the last 6 months.
Use this if you need pre-built, production-ready code for training and inferring with classic image classification models, saving you time in setting up common architectures.
Not ideal if you are a non-technical user looking for a no-code solution or if you need to build entirely custom image classification models from scratch without leveraging existing architectures.
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210
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38
Language
Jupyter Notebook
License
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Last pushed
Dec 30, 2024
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